A prompt injection attack hit Claude Code, Gemini CLI, and Copilot simultaneously. Here's what all three system cards reveal — and don't — about agent runtime protection.

Security leaders must adapt large language model controls such as input validation, output filtering and least-privilege access for artificial intelligence systems to prevent prompt injection attacks.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

OpenAI built an "automated attacker" to test Atlas' defenses. The qualities that make agents useful also make them vulnerable. AI security will be a game of cat and mouse for a long time. OpenAI is ...

Microsoft assigned CVE-2026-21520 to a Copilot Studio prompt injection vulnerability and patched it in January — but in Capsule Security's testing, data exfiltrated anyway. Here's what security ...

Organizations need to internalize a simple principle: Calling an LLM API is a data transfer. You're trusting the provider ...

How indirect prompt injection attacks on AI work - and 6 ways to shut them down ...

People hacking branded AI bots can result in significant reputational, financial, and legal consequences. There appears to be a recent epidemic of users hijacking companies’ AI-powered customer ...

Security leaders warn that traditional defenses cannot address emerging AI-specific threats such as prompt injection and data poisoning, prompting a shift toward AI-focused red-teaming. Rapid AI ...

Using only natural language instructions, researchers were able to bypass Google Gemini's defenses against malicious prompt injection and create misleading events to leak private Calendar data. With ...